We are evaluating the Primary and Behavioral Health Care Integration program, designed to improve the health status of adults with serious mental illnesses.
- Statistical modeling
- Data visualization
- Survey design
- Quality control
- Data Analytics
- Behavioral Health
- Population Health
Aparna Keshaviah is an applied statistician with over 15 years of experience leading the design and analysis of clinical trials to evaluate cancer therapeutics, mental health treatments, and health screening methods. Her work at Mathematica spans the areas of public health, military health, environmental health, and nutrition, and her expertise in statistical modeling extends to quality control for data feeding into models, and visualization of model outputs.
She reduces systematic biases and errors in research through the use of behavioral insights in survey design, development of flexible modular software programs, and formalization of best practices for workflows and analysis. She also has a burgeoning interest in incorporating information design throughout the research process–from study design to dissemination–to better communicate complex ideas to multiple audiences.
Prior to joining Mathematica in 2015, Keshaviah served as a lead biostatistician at the Dana-Farber Cancer Institute, and as a bioinformatics specialist at the Massachusetts General Hospital’s Department of Psychiatry. She is widely published in journals such as the New England Journal of Medicine, JAMA Psychiatry, and Envirometrics, and contributed to the latest version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). As a 2006-2007 Fulbright fellow to India, she designed and administered surveys at over 60 schools around the country to conduct the first-ever quantitative study of variability in practice and pedagogy of classical Indian dance. Keshaviah holds a Master’s degree in biostatistics from the Harvard School of Public Health.
Evaluation of the Primary and Behavioral Health Care Integration Program
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